Accelerate AI Inferencing with NVIDIA NIM on APEX Cloud Platform

Accelerate AI inferencing with Dell APEX Cloud Platform and NVIDIA NIM. Simplify deployment, enhance security, and achieve faster AI outcomes with integrated, automated solutions.

Businesses across industries are under tremendous pressure to deliver AI outcomes faster. However, many organizations struggle with application, workflow and infrastructure complexity. To accelerate AI inferencing wherever an organizational data may reside, Dell has validated NVIDIA NIMTM inference microservices (NIM) with Dell APEX Cloud Platform for Red Hat OpenShift.

By delivering out-of-the-box containerized modules with extensive APIs, NVIDIA NIM helps remove the complexity from deploying AI use cases. The APEX Cloud Platform for Red Hat OpenShift complements this by offering an integrated application platform that further accelerates time-to-value and simplifies operations.

With deep integrations and intelligent automation, the APEX Cloud Platform uncomplicates infrastructure operations while ensuring security in on-prem environments for demanding AI workloads. Please read this reference design to learn more about the solution.

The Rise of AI Inferencing

AI inferencing is evolving rapidly, driven by advancements in machine learning, new application architectures, and the enhancements in underlying infrastructure platforms. From voice recognition to computer vision, AI inferencing is at the core of many innovative applications.

In sectors like healthcare, AI inferencing aids in diagnostics and personalized treatment plans. In finance, it’s used for fraud detection and risk assessment. Autonomous vehicles rely on AI inferencing for real-time decision-making, while AI-driven chatbots enhance customer service across a range of industries.

Simplifying Inferencing with NVIDIA NIM

NVIDIA NIM is a game-changer in AI inferencing. It provides pre-optimized inference engines for NVIDIA GPUs, ensuring superior model performance and efficiency. Its use of industry-standard APIs makes it easier for developers to integrate AI models into their applications, reducing barriers to entry.

NVIDIA NIM can be utilized across locations and deployment models, be it on-premises or in the cloud. This flexibility ensures businesses can maintain control over their applications and data, while optimizing AI models for specific use cases. By removing the complexities of deploying an inferencing workload with a templatized, containerized deployment model with simple APIs, NIM empowers businesses to simplify and fast track their AI inferencing initiatives.

Optimize AI Outcomes with APEX Cloud Platform and NVIDIA NIM

The combination of NVIDIA NIM and the Dell APEX Cloud Platform for Red Hat OpenShift offers a robust solution for enterprises looking to accelerate AI inferencing on a curated, predictable on-prem infrastructure platform that simplifies workload mobility across private and public cloud environments.

The APEX Cloud Platform for Red Hat OpenShift is jointly engineered with Red Hat to simplify Red Hat OpenShift in a bare-metal configuration. The platform automates deployment process and ongoing operations with extensive capabilities built into the APEX Cloud Platform Foundation Software, resulting in faster time to value and simpler operations.

The software also ensures a continuously validated state for the entire stack, eliminating potential risks and ensuring optimal workload outcomes. Lastly, built on the secure PowerEdge foundation, the platform allows you to bring AI to your data on a secure, trusted infrastructure.

When combined, NVIDIA NIM and Dell APEX Cloud Platform offer the following benefits:

Simplify and fast-track AI inferencing: The two solutions complement each other by removing barriers to AI inferencing. With NVIDIA NIM on the highly automated APEX Cloud Platform, enterprises are able to accelerate their AI inferencing projects while simplifying infrastructure operations and AI workflows. Additionally, the APEX Cloud Platforms include a universal storage layer that simplifies movement of your AI workloads across locations

Deliver consistency and predictability as you scale: Combining NVIDIA NIM API-driven approach with the automation of APEX Cloud Platform helps ensure consistency as you scale and evolve your AI inferencing deployments. As the workload requirements and concurrent users grow, the NVIDIA NIM containers within OpenShift offer easy scalability to accommodate the growth. Furthermore, APEX Cloud Platform delivers predictable outcomes at any scale by ensuring the entire stack remains in a continuously validated stage.

Ensure security and mitigate risks: The solution empowers you to confidently bring AI to your on-premises data, helping you adopt AI in a secure manner without exposing your sensitive data to outside risks. The solution also ensures continuously validated state for the entire stack, mitigating potential risks. Additionally, built on Dell PowerEdge foundation, the solution enhances security on a trusted server platform.

The combination of NVIDIA NIM with the extensive infrastructure automation built into the Dell APEX Cloud Platform offers our customers a simple, optimized way to build, deploy and scale AI inferencing workloads.”

– Justin Boitano, Vice President of Enterprise AI at NVIDIA

Take the Next Step in Your AI Inferencing Journey

Integrating AI into business operations is no longer a science project—it’s a strategic necessity with an acute sense of urgency. With NVIDIA NIM validated on Dell’s APEX Cloud Platform, enterprises have a powerful toolset to drive AI innovation. By leveraging these technologies, businesses can simplify AI deployments, optimize workload outcomes, and enhance decision-making capabilities.

Read this reference design to learn more about the NVIDIA NIM validation on the APEX Cloud Platform. Click here to learn more about the APEX Cloud Platform for Red Hat OpenShift.

About the Author: Luke Mahon

Luke Mahon is the Director of the Dell AI Solutions Technical Marketing Engineering team, leading a team that works hand in hand with product management, engineering, marketing, sales, pre-sales and our customers to help foster a deep technical understanding of our AI offerings. Luke is an 18-year Dell veteran who has worked in a number of key areas of the business. Prior to this role he led the APEX TME team and before that he was responsible for our Dell Technologies messaging strategy and the workforce transformation messaging pillar. In the past he developed and led our converged infrastructure marketing campaign and prior to moving to marketing he spearheaded our technical private cloud initiative in EMEA as an Enterprise Technologist. He has also held several key technical pre-sales positions over the years, specializing in cloud, server technology, systems management and automation. Having studied Manufacturing Engineering at Brunel University in London, Luke spent several years working as an IT journalist, working for PC Magazine in both his native Britain and Dubai before to moving into his first technical pre-sales role. Luke is an avid music fan, a collector of vintage computers and classic cars as well as a keen foodie and a passionate Global traveler.